Current mode logic (CML) circuits have been widely used in high-speed data transceivers. The lower-voltage-swing makes the switching speed of CML much higher than the static logic can achieve, so it is worthy to adopt the CML circuits at the cost of higher power consumption in the high-speed applications. In order to obtain a better power efficiency (Frequency/power) in CML, it is critical to reduce the power consumption while maintaining the high operating frequency. This paper proposes an alternative approach by building the CML circuits with tunneling-field-effect-transistor (Tunnel FETs or TFETs) to achieve a high-throughput, low-voltage interface circuit design. By taking advantage of its steep subthreshold slope (less than 60 mV/dec), TFET exhibits the same on/off current ratio at the input voltage swing interval much lower than that of the MOSFETs, which enables the supply voltage scaling in CML circuits. For a design target data-rate (20 Gbps for multiplexer and 50 Gbps for buffer), our simulations show that the proposed TFET CML circuits are able to reduce the supply voltage from 0.6 V in conventional Si FinFET CML circuits to as low as 0.3 V while using the same constant tail current. As a result, a power consumption reduction of approximately 50% is achieved by the proposed TFET CML circuits, making the TFET CML approach a promising candidate for future low-power, high-performance applications.
Dysbiosis of oral microbiota is the cause of many diseases related to oral and general health. However, few Asia-based studies have evaluated the role of oral microbiota in patients receiving long-term care. Thus, new indications are needed for early prevention and risk management based on information derived from the oral microbiota.We used next-generation sequencing (NGS) to identify the oral bacterial composition and abundance in patients receiving long-term care: 20 from the outpatient department (OPD) and 20 home-care patients. Their microbial compositions, taxonomy, and alpha/beta diversity were characterized.Microbiota from the two groups showed different diversity and homogeneity, as well as distinct bacterial species. A more diverse and stable microbial population was observed among OPD patients. Our findings indicated that home-care patients had a higher risk of oral diseases due to the existence of dominant species and a less stable microbial community.This work was the first in Taiwan to use NGS to investigate the oral microbiota of long-term care patients. Our study demonstrated the potential use of dominant bacterial species as biomarkers for the risk management of posttreatment complications.
This paper proposes Multiplexer-Flip-Flops (MUX-FFs) to be a high-throughput and low-cost solution for serial link transmitters. We also propose Multiplexer-Latches (MUX-Latches) that possess the logic function of combinational circuits and storing capacity of sequential circuits. Adopting the pipeline with MUX-FFs, which are composed of cascaded latches and MUX-Latches, many latch gates for sequencing can be removed. Analysis shows that an 8-to-1 serializer in the pipeline topology with MUX-FFs reduces 52% gate-count compared to the traditional pipeline topology. To verify the function of the proposed design, a chips is implemented with the proposed 8-to-1 serializer with MUX-FFs in 90 nm CMOS technology. The measured results show that the proposed serializer with MUX-FFs are bit-error-free (with BER <; 10 -12 ), operating at up to 12 Gbit/s.
High power consumption has significantly increased the cooling cost in high-performance computation stations and limited the operation time in portable systems powered by batteries. Traditional power reduction mechanisms have limited traction in the post-Dennard Scaling landscape. Emerging research on new computation devices and associated architectures has shown three trends with the potential to greatly mitigate current power limitations. The first is to employ steep-slope transistors to enable fundamentally more efficient operation at reduced supply voltage in conventional Boolean logic, reducing dynamic power. The second is to employ brain-inspired computation paradigms, directly embodying computation mechanisms inspired by the brains, which have shown potential in extremely efficient, if approximate, processing with silicon-neuron networks. The third is "let physics do the computation", which focuses on using the intrinsic operation mechanism of devices (such as coupled oscillators) to do the approximate computation, instead of building complex circuits to carry out the same function. This paper first describes these three trends, and then proposes the use of the hybrid-phase-transition-FET (Hyper-FET), a device that could be configured as a steep-slope transistor, a spiking neuron cell, or an oscillator, as the device of choice for carrying these three trends forward. We discuss how a single class of device can be configured for these multiple use cases, and provide in-depth examination and analysis for a case study of building coupled-oscillator systems using Hyper-FETs for image processing. Performance benchmarking highlights the potential of significantly higher energy efficiency than dedicated CMOS accelerators at the same technology node.
Spiking neural networks are expected to play a vital role in realizing ultra-low power hardware for computer vision applications [1]. While the algorithmic efficiency is promising, their solid-state implementation with traditional CMOS transistors lead to area expensive solutions. Transistors are typically designed and optimized to perform as switches and do not naturally exhibit the dynamical properties of neurons. In this work, we harness the abrupt insulator-to-metal transition (IMT) in a prototypical IMT material, vanadium dioxide (VO 2 ) [2], to experimentally demonstrate a compact integrate and fire spiking neuron [3]. Further, we show multiple spiking dynamics of the neuron relevant to implementing `winner take all' max pooling layers employed in image processing pipelines.
This paper proposes multiplexer-flip-flops (MUX-FFs) to be a high-throughput and low-cost solution for serial link transmitters. We also propose multiplexer-latches (MUX-Latches) that possess the logic function of combinational circuits and storing capacity of sequential circuits. Adopting the pipeline with MUX-FFs, which are composed of cascaded latches and MUX-Latches, many latch gates for sequencing can be removed. Analysis and simulation results show that an 8-to-1 serializer in the pipeline topology with MUX-FFs reduces 52% gate-count compared to that in the traditional pipeline topology. To verify the functions of the proposed design, two chips are implemented with the proposed 4-to-1 MUX-FF and 8-to-1 serializer with MUX-FFs in 90 nm CMOS technology. The measured results show that the MUX-FF and the proposed serializer with MUX-FFs are almost bit-error-free (with BER <; 10 -12 ), operating at up to 6 Gbits/s and 12 Gbit/s, respectively.
With recent advances in silicon technology, previously intractable Deep Neural Network (DNN) solutions to complex visual, auditory, and other sensory perception problems are now practical for real-time, energy constrained systems. One such advancement is IBM's TrueNorth neurosynaptic processor, containing 1 million neurons and 256 million synapses, consuming 65mW of power, and capable of operating in real-time for a variety of applications. In this work, we explore how auditory features can be extracted on the TrueNorth processor using low numerical precision while maintaining algorithmic fidelity for DNN based spoken digit recognition on isolated words from the TIDIGITS dataset. Further, we show that our Low-power Audio Transform with TrueNorth Ecosystem (LATTE) is capable of achieving a 24× reduction in energy for feature extraction over a baseline FPGA implementation using standard MFCC audio features, while only incurring a 3 - 6% accuracy penalty.
Hepatocyte growth factor (HGF), mol. wt 105 000 is a potent mitogen for hepatocytes. HGF is strongly associated with compensatory regeneration in the liver after two-thirds partial hepatectomy and carbon tetrachloride administration. Plasma levels of HGF increase markedly during early stages of compensatory hyperplasia caused by these treatments. This is followed by an increase in HGF mRNA in the liver. This is in contrast to other growth factors for liver (epidermal growth factor, transforming growth factor a and acidic fibroblast growth factor) whose levels in plasma remain virtually undetectable during compensatory hyperplasia. We have shown that during augmentative hyperplasia caused by the tumor promoters a-hexachlorocyclohexane, phenobarbital and ciprofibrate, plasma levels of HGF also increase. This increase of HGF occurs during the transient wave of DNA synthesis caused by administration of these xenobiotics, providing further support for HGF as being the stimulator of DNA synthesis during both augmentative and compensatory hyperplasia.
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